Emulated Empathy
Emulated empathy is the design strategy, central to AI companion systems, of producing interactional cues - attentive language, affective mirroring, memory of previously shared information - that simulate an empathic relationship without the system possessing any subjective emotional experience. Users frequently find emulated empathy meaningful even when they know it is simulated, which raises ongoing questions in HCI ethics research about authenticity, dependency, manipulation and the duty of care owed by developers. The concept is particularly relevant in accessibility contexts because emulated empathy can offer predictable, sensory-light, non-judgmental support to disabled and neurodivergent users whose human social networks may be fragile or exhausting.
Category: AI · Human-Computer Interaction · Ethics
Related: AI Companion · Chatbot · Large Language Model · Conversational Agent